Systems and Methods for Near Lossless Image Compression

Patent №

US 9,245,352

Granted

2016-01-26

Filed 2013

Owner

GOOGLE INC.

AI components

3

vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13861456

Systems and methods for iterative near lossless image compression are provided. An exemplary computer-implemented method of compressing image data can include performing a plurality of compression iterations. Each compression iteration can include at least one decision regarding a loss of image data. The method can also include updating an entropy model following each compression iteration. The entropy model can describe an entropy associated with selected of a plurality of data blocks. The at least one decision regarding the loss of image data can be decided, for each compression iteration, based on the entropy model as updated following the previous compression iteration. Further, a total loss of image data from each data block can remain within an acceptable loss bound associated with the pixel described by such data block. An exemplary system can include a loss determination module, an entropy modeling module, a compression module, and an entropy coding module.

VisionKnowledge representationPlanningG06T 9/00H04N 19/13H04N 19/154H04N 19/176H04N 19/182H04N 19/192

AI classification

Vision1.00
Planning0.99
Knowledge representation0.91
Evolutionary computation0.12
AI hardware0.05
Machine learning0.02
Natural language0.00
Speech0.00

Ownership

GOOGLE INC.

assignment · 302020350

Assignors

ALAKUIJALA, JYRKI ANTERO, SZABO, PETER

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC